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DBMS > Cubrid vs. Geode vs. Graph Engine vs. Kinetica vs. LevelDB

System Properties Comparison Cubrid vs. Geode vs. Graph Engine vs. Kinetica vs. LevelDB

Editorial information provided by DB-Engines
NameCubrid  Xexclude from comparisonGeode  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonKinetica  Xexclude from comparisonLevelDB  Xexclude from comparison
DescriptionCUBRID is an open-source SQL-based relational database management system with object extensions for OLTPGeode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineFully vectorized database across both GPUs and CPUsEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string values
Primary database modelRelational DBMSKey-value storeGraph DBMS
Key-value store
Relational DBMSKey-value store
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.20
Rank#169  Overall
#78  Relational DBMS
Score1.92
Rank#131  Overall
#23  Key-value stores
Score0.61
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score2.35
Rank#111  Overall
#19  Key-value stores
Websitecubrid.com (korean)
cubrid.org (english)
geode.apache.orgwww.graphengine.iowww.kinetica.comgithub.com/­google/­leveldb
Technical documentationcubrid.org/­manualsgeode.apache.org/­docswww.graphengine.io/­docs/­manualdocs.kinetica.comgithub.com/­google/­leveldb/­blob/­main/­doc/­index.md
DeveloperCUBRID Corporation, CUBRID FoundationOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.MicrosoftKineticaGoogle
Initial release20082002201020122011
Current release11.0, January 20211.1, February 20177.1, August 20211.23, February 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2; commercial licenses available as GemfireOpen Source infoMIT LicensecommercialOpen Source infoBSD
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++, JavaJava.NET and CC, C++C++
Server operating systemsLinux
Windows
All OS with a Java VM infothe JDK (8 or later) is also required.NETLinuxIllumos
Linux
OS X
Windows
Data schemeyesschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesno
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nonononono
Secondary indexesyesnoyesno
SQL infoSupport of SQLyesSQL-like query language (OQL)noSQL-like DML and DDL statementsno
APIs and other access methodsADO.NET
JDBC
ODBC
OLE DB
Java Client API
Memcached protocol
RESTful HTTP API
RESTful HTTP APIJDBC
ODBC
RESTful HTTP API
Supported programming languagesC
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
All JVM based languages
C++
Groovy
Java
Scala
C#
C++
F#
Visual Basic
C++
Java
JavaScript (Node.js)
Python
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
Server-side scripts infoStored proceduresJava Stored Proceduresuser defined functionsyesuser defined functionsno
Triggersyesyes infoCache Event Listenersnoyes infotriggers when inserted values for one or more columns fall within a specified rangeno
Partitioning methods infoMethods for storing different data on different nodesnoneShardinghorizontal partitioningShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replicationSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integrityyesnonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyes, on a single nodenonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyes infowith automatic compression on writes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes infoGPU vRAM or System RAM
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights per client and object definableAccess rights for users and roles on table levelno

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More resources
CubridGeodeGraph Engine infoformer name: TrinityKineticaLevelDB
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